What is the current concentration of PM10 in South Yorkshire, UK?

The current PM10 concentration at South Yorkshire, UK is 30.968 μg/m3.

What is the current concentration of sulfur dioxide (SO2) in South Yorkshire, UK?

The current sulfur dioxide (SO2) concentration at South Yorkshire, UK is 0.984 ppb.

What is the current concentration of ozone (O3) in South Yorkshire, UK?

The current ozone (O3) concentration at South Yorkshire, UK is 25.219 ppm.

What is the current concentration of nitrogen dioxide (NO2) in South Yorkshire, UK?

The current nitrogen dioxide (NO2) concentration at South Yorkshire, UK is 14.398 ppb.

South Yorkshire, UK live air quality index now

Q: What is the current concentration of PM2.5 in South Yorkshire, UK?

The current PM2.5 concentration at South Yorkshire, UK is 7.723 μg/m3.

Stay updated with real-time air quality in South Yorkshire, UK featuring accurate data on AQI, PM_2.5, PM₁₀, O₃, NO₂, SO₂, and CO levels. Use our interactive map and detailed forecasts to monitor pollution trends, manage health risks, and plan your daily activities with confidence.

Live AQI (Air Quality Index)

Good

South Yorkshire, UK

Last updated: ... (Local time)

Major air pollutants in South Yorkshire, UK

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

7.72 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

30.97 μg/m³

155

255

425

605+

Ozone (O₃)

25.22 ppb

201

201+

Sulfur Dioxide (SO₂)

0.98 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

14.40 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.81 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

South Yorkshire, UK

Get Live Pollen Counts

South Yorkshire, UK

Scroll To Air Quality Map

Track live South Yorkshire, UK air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-11-10T23:00:00.000Z	75 \| moderate	21.528 \| fine	45.59 \| good	6.1 \| good	0.801 \| good	19.075 \| good	0.646 \| good
2026-11-11T00:00:00.000Z	71 \| moderate	20.395 \| fine	46.511 \| good	6.74 \| good	0.938 \| good	14.329 \| good	0.646 \| good
2026-11-11T01:00:00.000Z	71 \| moderate	20.49 \| fine	48.318 \| good	7.049 \| good	0.763 \| good	10.361 \| good	0.626 \| good
2026-11-11T02:00:00.000Z	71 \| moderate	19.603 \| fine	44.347 \| good	9.848 \| good	0.852 \| good	8.208 \| good	0.626 \| good
2026-11-11T03:00:00.000Z	69 \| moderate	19.101 \| fine	48.657 \| good	13.513 \| good	0.807 \| good	5.687 \| good	0.626 \| good
2026-11-11T04:00:00.000Z	69 \| moderate	19.206 \| fine	43.794 \| good	15.467 \| good	0.784 \| good	4.96 \| good	0.626 \| good
2026-11-11T05:00:00.000Z	67 \| moderate	18.202 \| fine	44.494 \| good	17.002 \| good	0.655 \| good	5.148 \| good	0.626 \| good
2026-11-11T06:00:00.000Z	67 \| moderate	17.725 \| fine	40.965 \| good	17.912 \| good	0.763 \| good	5.538 \| good	0.626 \| good
2026-11-11T07:00:00.000Z	66 \| moderate	17.063 \| fine	39.783 \| good	19.583 \| good	0.763 \| good	9.049 \| good	0.746 \| good
2026-11-11T08:00:00.000Z	66 \| moderate	16.718 \| fine	36.705 \| good	21.19 \| good	0.763 \| good	15.061 \| good	0.626 \| good
2026-11-11T09:00:00.000Z	66 \| moderate	17.007 \| fine	38.883 \| good	21.083 \| good	0.763 \| good	16.322 \| good	0.626 \| good
2026-11-11T10:00:00.000Z	64 \| moderate	16.437 \| fine	39.879 \| good	19.993 \| good	0.873 \| good	19.585 \| good	0.626 \| good
2026-11-11T11:00:00.000Z	64 \| moderate	15.664 \| fine	40.434 \| good	19.142 \| good	0.859 \| good	19.612 \| good	0.626 \| good
2026-11-11T12:00:00.000Z	62 \| moderate	15.033 \| fine	35.271 \| good	18.621 \| good	0.775 \| good	11.676 \| good	0.626 \| good
2026-11-11T13:00:00.000Z	60 \| moderate	14.398 \| fine	34.173 \| good	17.451 \| good	1.451 \| good	11.214 \| good	0.626 \| good
2026-11-11T14:00:00.000Z	58 \| moderate	13.355 \| fine	33.934 \| good	18.087 \| good	0.962 \| good	11.511 \| good	0.626 \| good
2026-11-11T15:00:00.000Z	58 \| moderate	13.071 \| fine	35.406 \| good	19.785 \| good	0.778 \| good	10.664 \| good	0.626 \| good
2026-11-11T16:00:00.000Z	58 \| moderate	12.509 \| fine	33.748 \| good	21.107 \| good	0.895 \| good	10.913 \| good	0.744 \| good
2026-11-11T17:00:00.000Z	56 \| moderate	11.714 \| good	29.772 \| good	22.743 \| good	0.808 \| good	17.082 \| good	0.706 \| good
2026-11-11T18:00:00.000Z	54 \| moderate	11.149 \| good	27.441 \| good	22.15 \| good	1.257 \| good	31.247 \| good	0.686 \| good
2026-11-11T19:00:00.000Z	54 \| moderate	10.656 \| good	31.208 \| good	19.49 \| good	1.181 \| good	35.936 \| good	0.726 \| good
2026-11-11T20:00:00.000Z	52 \| moderate	10.134 \| good	28.998 \| good	18.184 \| good	1.266 \| good	32.638 \| good	0.646 \| good
2026-11-11T21:00:00.000Z	52 \| moderate	9.71 \| good	27.661 \| good	15.673 \| good	1.599 \| good	28.326 \| good	0.646 \| good
2026-11-11T22:00:00.000Z	52 \| moderate	9.742 \| good	26.657 \| good	13.366 \| good	1.586 \| good	25.024 \| good	0.646 \| good
2026-11-11T23:00:00.000Z	52 \| moderate	9.735 \| good	24.707 \| good	10.451 \| good	1.11 \| good	24.237 \| good	0.626 \| good
2026-11-12T00:00:00.000Z	52 \| moderate	9.71 \| good	24.55 \| good	7.819 \| good	1.096 \| good	23.013 \| good	0.626 \| good
2026-11-12T01:00:00.000Z	52 \| moderate	9.768 \| good	26.349 \| good	6.684 \| good	1.153 \| good	20.167 \| good	0.626 \| good
2026-11-12T02:00:00.000Z	49 \| good	9.252 \| good	27.588 \| good	9.185 \| good	0.936 \| good	16.038 \| good	0.626 \| good
2026-11-12T03:00:00.000Z	52 \| moderate	9.616 \| good	27.742 \| good	11.285 \| good	1.039 \| good	12.427 \| good	0.626 \| good
2026-11-12T04:00:00.000Z	52 \| moderate	9.651 \| good	30.357 \| good	8.518 \| good	0.861 \| good	6.7 \| good	0.626 \| good
2026-11-12T05:00:00.000Z	49 \| good	9.25 \| good	27.644 \| good	10.518 \| good	0.846 \| good	5.578 \| good	0.646 \| good
2026-11-12T06:00:00.000Z	49 \| good	9.361 \| good	26.539 \| good	13.071 \| good	0.731 \| good	6.35 \| good	0.666 \| good
2026-11-12T07:00:00.000Z	52 \| moderate	9.515 \| good	26.01 \| good	13.29 \| good	0.887 \| good	8.587 \| good	0.666 \| good
2026-11-12T08:00:00.000Z	49 \| good	9.145 \| good	23.33 \| good	16.646 \| good	0.763 \| good	10.647 \| good	0.686 \| good
2026-11-12T09:00:00.000Z	49 \| good	9.291 \| good	25.203 \| good	16.313 \| good	0.763 \| good	23.641 \| good	0.706 \| good
2026-11-12T10:00:00.000Z	52 \| moderate	9.729 \| good	25.468 \| good	16.968 \| good	0.773 \| good	22.453 \| good	0.706 \| good
2026-11-12T11:00:00.000Z	49 \| good	8.841 \| good	28.122 \| good	20.895 \| good	0.897 \| good	12.139 \| good	0.686 \| good
2026-11-12T12:00:00.000Z	49 \| good	8.887 \| good	25.654 \| good	20.759 \| good	0.64 \| good	10.03 \| good	0.686 \| good
2026-11-12T13:00:00.000Z	49 \| good	8.885 \| good	25.267 \| good	21.421 \| good	0.772 \| good	8.627 \| good	0.686 \| good
2026-11-12T14:00:00.000Z	49 \| good	8.919 \| good	24.3 \| good	22.551 \| good	0.726 \| good	6.505 \| good	0.686 \| good
2026-11-12T15:00:00.000Z	49 \| good	9.194 \| good	33.629 \| good	23.697 \| good	0.723 \| good	8.107 \| good	0.706 \| good
2026-11-12T16:00:00.000Z	49 \| good	9.172 \| good	33.558 \| good	25.167 \| good	0.743 \| good	9.54 \| good	0.766 \| good
2026-11-12T17:00:00.000Z	49 \| good	9.041 \| good	30.879 \| good	26.732 \| good	1.072 \| good	11.638 \| good	0.826 \| good
2026-11-12T18:00:00.000Z	49 \| good	8.625 \| good	30.984 \| good	28.651 \| good	0.868 \| good	19.188 \| good	0.766 \| good
2026-11-12T19:00:00.000Z	44 \| good	8.383 \| good	27.848 \| good	27.473 \| good	0.999 \| good	22.345 \| good	0.786 \| good
2026-11-12T20:00:00.000Z	44 \| good	7.653 \| good	26.767 \| good	26.473 \| good	0.812 \| good	19.974 \| good	0.786 \| good
2026-11-12T21:00:00.000Z	44 \| good	7.558 \| good	27.381 \| good	25.053 \| good	0.989 \| good	14.536 \| good	0.805 \| good
2026-11-12T22:00:00.000Z	44 \| good	7.723 \| good	30.968 \| good	25.219 \| good	0.984 \| good	14.398 \| good	0.806 \| good
2026-11-12T23:00:00.000Z	33 \| good	5.579 \| good	9.245 \| good	21.9 \| good	0.74 \| good	9.26 \| good	0.152 \| good
2026-11-13T00:00:00.000Z	27 \| good	5.237 \| good	8.911 \| good	22.011 \| good	0.653 \| good	8.38 \| good	0.151 \| good
2026-11-13T01:00:00.000Z	27 \| good	4.682 \| good	8.158 \| good	22.99 \| good	0.557 \| good	6.761 \| good	0.146 \| good
2026-11-13T02:00:00.000Z	22 \| good	4.466 \| good	8.011 \| good	22.888 \| good	0.505 \| good	5.716 \| good	0.144 \| good
2026-11-13T03:00:00.000Z	22 \| good	4.306 \| good	7.914 \| good	23.724 \| good	0.463 \| good	5.026 \| good	0.142 \| good
2026-11-13T04:00:00.000Z	22 \| good	4.308 \| good	7.945 \| good	23.703 \| good	0.447 \| good	4.684 \| good	0.141 \| good
2026-11-13T05:00:00.000Z	27 \| good	4.611 \| good	8.271 \| good	22.518 \| good	0.462 \| good	4.937 \| good	0.142 \| good
2026-11-13T06:00:00.000Z	27 \| good	5.112 \| good	9.035 \| good	20.776 \| good	0.506 \| good	6.19 \| good	0.143 \| good
2026-11-13T07:00:00.000Z	33 \| good	5.843 \| good	10.362 \| good	18.511 \| good	0.639 \| good	8.397 \| good	0.148 \| good
2026-11-13T08:00:00.000Z	38 \| good	6.558 \| good	11.738 \| good	14.63 \| good	0.808 \| good	13.004 \| good	0.168 \| good
2026-11-13T09:00:00.000Z	38 \| good	6.774 \| good	12.297 \| good	16.033 \| good	0.955 \| good	15.519 \| good	0.18 \| good
2026-11-13T10:00:00.000Z	33 \| good	5.776 \| good	11.134 \| good	23.502 \| good	0.861 \| good	11.37 \| good	0.166 \| good
2026-11-13T11:00:00.000Z	25 \| good	4.466 \| good	10.554 \| good	26.618 \| good	0.705 \| good	8.043 \| good	0.158 \| good
2026-11-13T12:00:00.000Z	27 \| good	3.749 \| good	9.077 \| good	28.888 \| good	0.535 \| good	6.01 \| good	0.151 \| good
2026-11-13T13:00:00.000Z	29 \| good	3.489 \| good	7.683 \| good	30.537 \| good	0.481 \| good	5.382 \| good	0.148 \| good
2026-11-13T14:00:00.000Z	27 \| good	3.453 \| good	7.173 \| good	29.026 \| good	0.493 \| good	5.892 \| good	0.15 \| good
2026-11-13T15:00:00.000Z	24 \| good	4.129 \| good	7.528 \| good	25.665 \| good	0.533 \| good	7.791 \| good	0.159 \| good
2026-11-13T16:00:00.000Z	27 \| good	4.823 \| good	10.423 \| good	20.993 \| good	0.673 \| good	12.443 \| good	0.173 \| good
2026-11-13T17:00:00.000Z	27 \| good	5.243 \| good	12.343 \| good	16.262 \| good	0.774 \| good	15.94 \| good	0.183 \| good
2026-11-13T18:00:00.000Z	44 \| good	8.464 \| good	14.468 \| good	10.279 \| good	0.951 \| good	24.419 \| good	0.209 \| good
2026-11-13T19:00:00.000Z	54 \| moderate	11.466 \| good	16.72 \| good	7.484 \| good	1.044 \| good	26.873 \| good	0.232 \| good
2026-11-13T20:00:00.000Z	58 \| moderate	12.628 \| fine	18.783 \| good	5.335 \| good	0.955 \| good	25.952 \| good	0.223 \| good
2026-11-13T21:00:00.000Z	56 \| moderate	12.297 \| fine	18.655 \| good	8.337 \| good	0.941 \| good	22.469 \| good	0.201 \| good
2026-11-13T22:00:00.000Z	54 \| moderate	11.383 \| good	17.16 \| good	12.122 \| good	0.87 \| good	18.026 \| good	0.185 \| good
2026-11-13T23:00:00.000Z	54 \| moderate	10.801 \| good	15.883 \| good	12.436 \| good	0.715 \| good	15.946 \| good	0.18 \| good
2026-11-14T00:00:00.000Z	52 \| moderate	9.712 \| good	13.984 \| good	13.385 \| good	0.623 \| good	14.074 \| good	0.176 \| good
2026-11-14T01:00:00.000Z	44 \| good	8.455 \| good	12.321 \| good	16.739 \| good	0.549 \| good	11.36 \| good	0.167 \| good
2026-11-14T02:00:00.000Z	38 \| good	7.41 \| good	11.549 \| good	19.475 \| good	0.472 \| good	8.533 \| good	0.156 \| good
2026-11-14T03:00:00.000Z	38 \| good	6.659 \| good	11.095 \| good	20.247 \| good	0.424 \| good	7.145 \| good	0.151 \| good
2026-11-14T04:00:00.000Z	33 \| good	5.929 \| good	10.44 \| good	20.414 \| good	0.407 \| good	6.189 \| good	0.148 \| good
2026-11-14T05:00:00.000Z	33 \| good	5.816 \| good	9.835 \| good	20.503 \| good	0.406 \| good	5.575 \| good	0.147 \| good
2026-11-14T06:00:00.000Z	33 \| good	6.113 \| good	9.682 \| good	22.135 \| good	0.44 \| good	5.437 \| good	0.147 \| good
2026-11-14T07:00:00.000Z	38 \| good	6.574 \| good	9.519 \| good	22.061 \| good	0.533 \| good	6.048 \| good	0.152 \| good
2026-11-14T08:00:00.000Z	38 \| good	7.009 \| good	9.57 \| good	20.656 \| good	0.663 \| good	7.627 \| good	0.169 \| good
2026-11-14T09:00:00.000Z	49 \| good	8.602 \| good	11.588 \| good	21.08 \| good	0.751 \| good	8.637 \| good	0.175 \| good
2026-11-14T10:00:00.000Z	52 \| moderate	9.918 \| good	13.354 \| good	21.863 \| good	0.702 \| good	7.837 \| good	0.173 \| good
2026-11-14T11:00:00.000Z	52 \| moderate	10.088 \| good	13.287 \| good	22.786 \| good	0.618 \| good	7.141 \| good	0.169 \| good
2026-11-14T12:00:00.000Z	49 \| good	9.305 \| good	11.946 \| good	23.684 \| good	0.562 \| good	6.854 \| good	0.164 \| good
2026-11-14T13:00:00.000Z	44 \| good	8.076 \| good	11.037 \| good	24.248 \| good	0.519 \| good	7.244 \| good	0.162 \| good
2026-11-14T14:00:00.000Z	44 \| good	8.164 \| good	12.666 \| good	23.618 \| good	0.498 \| good	7.574 \| good	0.163 \| good
2026-11-14T15:00:00.000Z	49 \| good	8.582 \| good	13.087 \| good	22.963 \| good	0.476 \| good	8.383 \| good	0.166 \| good
2026-11-14T16:00:00.000Z	49 \| good	9.15 \| good	13.503 \| good	21.721 \| good	0.535 \| good	10.108 \| good	0.172 \| good
2026-11-14T17:00:00.000Z	52 \| moderate	9.867 \| good	13.106 \| good	18.189 \| good	0.569 \| good	11.986 \| good	0.176 \| good
2026-11-14T18:00:00.000Z	54 \| moderate	10.764 \| good	13.006 \| good	15.068 \| good	0.644 \| good	13.924 \| good	0.183 \| good
2026-11-14T19:00:00.000Z	56 \| moderate	12.342 \| fine	14.277 \| good	12.891 \| good	0.602 \| good	14.11 \| good	0.188 \| good
2026-11-14T20:00:00.000Z	60 \| moderate	14.381 \| fine	16.148 \| good	10.836 \| good	0.609 \| good	15.496 \| good	0.195 \| good
2026-11-14T21:00:00.000Z	64 \| moderate	15.881 \| fine	17.715 \| good	8.915 \| good	0.577 \| good	17.108 \| good	0.198 \| good
2026-11-14T22:00:00.000Z	66 \| moderate	16.998 \| fine	19.217 \| good	8.489 \| good	0.63 \| good	18.141 \| good	0.192 \| good

South Yorkshire

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South Yorkshire, UK air quality map: Track AQI near you

Air quality in cities of South Yorkshire, UK

City	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
Barnsley, South Yorkshire	38 Good	6.86μg/m³ Good	22.72μg/m³ Good	26.51ppb Good	1.13ppb Good	8.31ppb Good	0.81ppm Good
Armthorpe, South Yorkshire	49 Good	8.88μg/m³ Good	46.66μg/m³ Good	25.36ppb Good	0.95ppb Good	11.94ppb Good	0.81ppm Good
Adwick le Street, South Yorkshire	49 Good	8.67μg/m³ Good	48.82μg/m³ Good	25.21ppb Good	0.96ppb Good	12.59ppb Good	0.81ppm Good
Scawthorpe, South Yorkshire	49 Good	8.92μg/m³ Good	52.79μg/m³ Good	25.12ppb Good	0.95ppb Good	12.32ppb Good	0.81ppm Good
Dunscroft, South Yorkshire	33 Good	6.44μg/m³ Good	29.43μg/m³ Good	28.56ppb Good	0.93ppb Good	10.70ppb Good	0.81ppm Good
Conisbrough, South Yorkshire	44 Good	8.29μg/m³ Good	42.16μg/m³ Good	25.25ppb Good	0.97ppb Good	13.22ppb Good	0.81ppm Good
Darton, South Yorkshire	38 Good	6.84μg/m³ Good	22.51μg/m³ Good	26.53ppb Good	1.13ppb Good	8.00ppb Good	0.81ppm Good
Doncaster, South Yorkshire	50 Good	9.00μg/m³ Good	53.93μg/m³ Good	25.09ppb Good	0.95ppb Good	12.24ppb Good	0.81ppm Good
Cudworth, South Yorkshire	38 Good	6.83μg/m³ Good	22.66μg/m³ Good	26.25ppb Good	1.05ppb Good	11.36ppb Good	0.81ppm Good
Dinnington, South Yorkshire	38 Good	7.24μg/m³ Good	22.81μg/m³ Good	22.07ppb Good	0.96ppb Good	20.34ppb Good	0.81ppm Good
Bentley, South Yorkshire	49 Good	8.92μg/m³ Good	52.79μg/m³ Good	25.12ppb Good	0.95ppb Good	12.32ppb Good	0.81ppm Good
Chapeltown, South Yorkshire	38 Good	6.67μg/m³ Good	27.14μg/m³ Good	26.52ppb Good	0.99ppb Good	15.97ppb Good	0.81ppm Good
Hoyland, South Yorkshire	38 Good	6.88μg/m³ Good	23.80μg/m³ Good	26.26ppb Good	1.02ppb Good	13.61ppb Good	0.81ppm Good
Royston, South Yorkshire	38 Good	6.78μg/m³ Good	22.34μg/m³ Good	26.45ppb Good	1.08ppb Good	9.68ppb Good	0.81ppm Good
Kirk Sandall, South Yorkshire	49 Good	8.69μg/m³ Good	49.06μg/m³ Good	25.26ppb Good	0.94ppb Good	12.25ppb Good	0.81ppm Good
Rotherham, South Yorkshire	44 Good	7.52μg/m³ Good	18.51μg/m³ Good	24.05ppb Good	0.98ppb Good	14.89ppb Good	0.81ppm Good
Swinton, South Yorkshire	44 Good	7.60μg/m³ Good	29.54μg/m³ Good	25.26ppb Good	0.99ppb Good	14.19ppb Good	0.81ppm Good
Swallownest, South Yorkshire	38 Good	7.05μg/m³ Good	18.84μg/m³ Good	26.86ppb Good	0.96ppb Good	14.00ppb Good	0.81ppm Good
Thorne, South Yorkshire	38 Good	6.57μg/m³ Good	10.24μg/m³ Good	29.19ppb Good	0.93ppb Good	5.14ppb Good	0.81ppm Good
Sheffield, South Yorkshire	38 Good	6.78μg/m³ Good	26.78μg/m³ Good	28.57ppb Good	0.97ppb Good	17.34ppb Good	0.81ppm Good
New Rossington, South Yorkshire	49 Good	8.89μg/m³ Good	48.94μg/m³ Good	25.27ppb Good	0.96ppb Good	12.69ppb Good	0.81ppm Good
Maltby, South Yorkshire	44 Good	7.63μg/m³ Good	19.26μg/m³ Good	21.10ppb Good	0.97ppb Good	25.40ppb Good	0.81ppm Good
Mexborough, South Yorkshire	44 Good	7.63μg/m³ Good	19.26μg/m³ Good	21.10ppb Good	0.97ppb Good	25.40ppb Good	0.81ppm Good
Rawmarsh, South Yorkshire	38 Good	7.49μg/m³ Good	22.93μg/m³ Good	24.60ppb Good	0.99ppb Good	14.96ppb Good	0.81ppm Good
Warmsworth, South Yorkshire	49 Good	8.80μg/m³ Good	50.73μg/m³ Good	25.15ppb Good	0.95ppb Good	12.50ppb Good	0.81ppm Good
Wickersley, South Yorkshire	44 Good	7.63μg/m³ Good	19.26μg/m³ Good	21.10ppb Good	0.97ppb Good	25.40ppb Good	0.81ppm Good
WathuponDearne, South Yorkshire	38 Good	7.39μg/m³ Good	25.66μg/m³ Good	25.22ppb Good	1.00ppb Good	14.44ppb Good	0.81ppm Good
Wombwell, South Yorkshire	49 Good	9.37μg/m³ Good	17.55μg/m³ Good	23.11ppb Good	0.96ppb Good	21.94ppb Good	0.81ppm Good

City	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
No results found

0.81ppm

How accurate is South Yorkshire, UK air quality data?

Air quality data and pollutant measurements for South Yorkshire, UK adhere to strict US EPA standards. The data is collected from multiple reliable sources, including satellites and ground-based monitoring stations. This data is further analyzed and enhanced using machine learning and advanced algorithms that factor in elements such as traffic and population density, ensuring accurate and reliable results.

Source: Ambee Data Sources

Air quality levels in UK

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Frequently asked questions

How often is the air quality data for South Yorkshire, UK updated?

The air quality for South Yorkshire, UK is updated every hour.

When was the worst air quality at South Yorkshire, UK in the last 24 hrs?

The worst air quality in South Yorkshire, UK in the last 24 hours was observed at 10:00:00 on 2026-11-12.

When was the best air quality at South Yorkshire, UK in the last 24 hrs?

In the last 24 hrs, the best air quality in South Yorkshire, UK was observed at 09:00:00 on 2026-11-12.

What is the current air quality in South Yorkshire, UK?

The current air quality in South Yorkshire, UK is 44, categorized as Good based on real-time data.

What pollutant is the most common in South Yorkshire, UK?

The most common pollutant in South Yorkshire, UK is PM2.5.

What should I do if the air quality in South Yorkshire, UK is poor?

If the air quality in South Yorkshire, UK is poor, consider staying indoors and wearing a mask to protect yourself.

What is the current concentration of PM_2.5 in South Yorkshire, UK?

The current PM_2.5 concentration at South Yorkshire, UK is 7.723 μg/m³.

What is the current concentration of PM₁₀ in South Yorkshire, UK?

The current PM₁₀ concentration at South Yorkshire, UK is 30.968 μg/m³.

What is the current concentration of carbon monoxide (CO) in South Yorkshire, UK?

The current carbon monoxide (CO) concentration at South Yorkshire, UK is 0.806 ppm.

What is the current concentration of sulfur dioxide (SO₂) in South Yorkshire, UK?

The current sulfur dioxide (SO₂) concentration at South Yorkshire, UK is 0.984 ppb.

What is the current concentration of ozone (O₃) in South Yorkshire, UK?

The current ozone (O₃) concentration at South Yorkshire, UK is 25.219 ppm.

What is the current concentration of nitrogen dioxide (NO₂) in South Yorkshire, UK?

The current nitrogen dioxide (NO₂) concentration at South Yorkshire, UK is 14.398 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-11-10T23:00:00.000Z	75 \| moderate	21.528 \| fine	45.59 \| good	6.1 \| good	0.801 \| good	19.075 \| good	0.646 \| good
2026-11-11T00:00:00.000Z	71 \| moderate	20.395 \| fine	46.511 \| good	6.74 \| good	0.938 \| good	14.329 \| good	0.646 \| good
2026-11-11T01:00:00.000Z	71 \| moderate	20.49 \| fine	48.318 \| good	7.049 \| good	0.763 \| good	10.361 \| good	0.626 \| good
2026-11-11T02:00:00.000Z	71 \| moderate	19.603 \| fine	44.347 \| good	9.848 \| good	0.852 \| good	8.208 \| good	0.626 \| good
2026-11-11T03:00:00.000Z	69 \| moderate	19.101 \| fine	48.657 \| good	13.513 \| good	0.807 \| good	5.687 \| good	0.626 \| good
2026-11-11T04:00:00.000Z	69 \| moderate	19.206 \| fine	43.794 \| good	15.467 \| good	0.784 \| good	4.96 \| good	0.626 \| good
2026-11-11T05:00:00.000Z	67 \| moderate	18.202 \| fine	44.494 \| good	17.002 \| good	0.655 \| good	5.148 \| good	0.626 \| good
2026-11-11T06:00:00.000Z	67 \| moderate	17.725 \| fine	40.965 \| good	17.912 \| good	0.763 \| good	5.538 \| good	0.626 \| good
2026-11-11T07:00:00.000Z	66 \| moderate	17.063 \| fine	39.783 \| good	19.583 \| good	0.763 \| good	9.049 \| good	0.746 \| good
2026-11-11T08:00:00.000Z	66 \| moderate	16.718 \| fine	36.705 \| good	21.19 \| good	0.763 \| good	15.061 \| good	0.626 \| good
2026-11-11T09:00:00.000Z	66 \| moderate	17.007 \| fine	38.883 \| good	21.083 \| good	0.763 \| good	16.322 \| good	0.626 \| good
2026-11-11T10:00:00.000Z	64 \| moderate	16.437 \| fine	39.879 \| good	19.993 \| good	0.873 \| good	19.585 \| good	0.626 \| good
2026-11-11T11:00:00.000Z	64 \| moderate	15.664 \| fine	40.434 \| good	19.142 \| good	0.859 \| good	19.612 \| good	0.626 \| good
2026-11-11T12:00:00.000Z	62 \| moderate	15.033 \| fine	35.271 \| good	18.621 \| good	0.775 \| good	11.676 \| good	0.626 \| good
2026-11-11T13:00:00.000Z	60 \| moderate	14.398 \| fine	34.173 \| good	17.451 \| good	1.451 \| good	11.214 \| good	0.626 \| good
2026-11-11T14:00:00.000Z	58 \| moderate	13.355 \| fine	33.934 \| good	18.087 \| good	0.962 \| good	11.511 \| good	0.626 \| good
2026-11-11T15:00:00.000Z	58 \| moderate	13.071 \| fine	35.406 \| good	19.785 \| good	0.778 \| good	10.664 \| good	0.626 \| good
2026-11-11T16:00:00.000Z	58 \| moderate	12.509 \| fine	33.748 \| good	21.107 \| good	0.895 \| good	10.913 \| good	0.744 \| good
2026-11-11T17:00:00.000Z	56 \| moderate	11.714 \| good	29.772 \| good	22.743 \| good	0.808 \| good	17.082 \| good	0.706 \| good
2026-11-11T18:00:00.000Z	54 \| moderate	11.149 \| good	27.441 \| good	22.15 \| good	1.257 \| good	31.247 \| good	0.686 \| good
2026-11-11T19:00:00.000Z	54 \| moderate	10.656 \| good	31.208 \| good	19.49 \| good	1.181 \| good	35.936 \| good	0.726 \| good
2026-11-11T20:00:00.000Z	52 \| moderate	10.134 \| good	28.998 \| good	18.184 \| good	1.266 \| good	32.638 \| good	0.646 \| good
2026-11-11T21:00:00.000Z	52 \| moderate	9.71 \| good	27.661 \| good	15.673 \| good	1.599 \| good	28.326 \| good	0.646 \| good
2026-11-11T22:00:00.000Z	52 \| moderate	9.742 \| good	26.657 \| good	13.366 \| good	1.586 \| good	25.024 \| good	0.646 \| good
2026-11-11T23:00:00.000Z	52 \| moderate	9.735 \| good	24.707 \| good	10.451 \| good	1.11 \| good	24.237 \| good	0.626 \| good
2026-11-12T00:00:00.000Z	52 \| moderate	9.71 \| good	24.55 \| good	7.819 \| good	1.096 \| good	23.013 \| good	0.626 \| good
2026-11-12T01:00:00.000Z	52 \| moderate	9.768 \| good	26.349 \| good	6.684 \| good	1.153 \| good	20.167 \| good	0.626 \| good
2026-11-12T02:00:00.000Z	49 \| good	9.252 \| good	27.588 \| good	9.185 \| good	0.936 \| good	16.038 \| good	0.626 \| good
2026-11-12T03:00:00.000Z	52 \| moderate	9.616 \| good	27.742 \| good	11.285 \| good	1.039 \| good	12.427 \| good	0.626 \| good
2026-11-12T04:00:00.000Z	52 \| moderate	9.651 \| good	30.357 \| good	8.518 \| good	0.861 \| good	6.7 \| good	0.626 \| good
2026-11-12T05:00:00.000Z	49 \| good	9.25 \| good	27.644 \| good	10.518 \| good	0.846 \| good	5.578 \| good	0.646 \| good
2026-11-12T06:00:00.000Z	49 \| good	9.361 \| good	26.539 \| good	13.071 \| good	0.731 \| good	6.35 \| good	0.666 \| good
2026-11-12T07:00:00.000Z	52 \| moderate	9.515 \| good	26.01 \| good	13.29 \| good	0.887 \| good	8.587 \| good	0.666 \| good
2026-11-12T08:00:00.000Z	49 \| good	9.145 \| good	23.33 \| good	16.646 \| good	0.763 \| good	10.647 \| good	0.686 \| good
2026-11-12T09:00:00.000Z	49 \| good	9.291 \| good	25.203 \| good	16.313 \| good	0.763 \| good	23.641 \| good	0.706 \| good
2026-11-12T10:00:00.000Z	52 \| moderate	9.729 \| good	25.468 \| good	16.968 \| good	0.773 \| good	22.453 \| good	0.706 \| good
2026-11-12T11:00:00.000Z	49 \| good	8.841 \| good	28.122 \| good	20.895 \| good	0.897 \| good	12.139 \| good	0.686 \| good
2026-11-12T12:00:00.000Z	49 \| good	8.887 \| good	25.654 \| good	20.759 \| good	0.64 \| good	10.03 \| good	0.686 \| good
2026-11-12T13:00:00.000Z	49 \| good	8.885 \| good	25.267 \| good	21.421 \| good	0.772 \| good	8.627 \| good	0.686 \| good
2026-11-12T14:00:00.000Z	49 \| good	8.919 \| good	24.3 \| good	22.551 \| good	0.726 \| good	6.505 \| good	0.686 \| good
2026-11-12T15:00:00.000Z	49 \| good	9.194 \| good	33.629 \| good	23.697 \| good	0.723 \| good	8.107 \| good	0.706 \| good
2026-11-12T16:00:00.000Z	49 \| good	9.172 \| good	33.558 \| good	25.167 \| good	0.743 \| good	9.54 \| good	0.766 \| good
2026-11-12T17:00:00.000Z	49 \| good	9.041 \| good	30.879 \| good	26.732 \| good	1.072 \| good	11.638 \| good	0.826 \| good
2026-11-12T18:00:00.000Z	49 \| good	8.625 \| good	30.984 \| good	28.651 \| good	0.868 \| good	19.188 \| good	0.766 \| good
2026-11-12T19:00:00.000Z	44 \| good	8.383 \| good	27.848 \| good	27.473 \| good	0.999 \| good	22.345 \| good	0.786 \| good
2026-11-12T20:00:00.000Z	44 \| good	7.653 \| good	26.767 \| good	26.473 \| good	0.812 \| good	19.974 \| good	0.786 \| good
2026-11-12T21:00:00.000Z	44 \| good	7.558 \| good	27.381 \| good	25.053 \| good	0.989 \| good	14.536 \| good	0.805 \| good
2026-11-12T22:00:00.000Z	44 \| good	7.723 \| good	30.968 \| good	25.219 \| good	0.984 \| good	14.398 \| good	0.806 \| good
2026-11-12T23:00:00.000Z	33 \| good	5.579 \| good	9.245 \| good	21.9 \| good	0.74 \| good	9.26 \| good	0.152 \| good
2026-11-13T00:00:00.000Z	27 \| good	5.237 \| good	8.911 \| good	22.011 \| good	0.653 \| good	8.38 \| good	0.151 \| good
2026-11-13T01:00:00.000Z	27 \| good	4.682 \| good	8.158 \| good	22.99 \| good	0.557 \| good	6.761 \| good	0.146 \| good
2026-11-13T02:00:00.000Z	22 \| good	4.466 \| good	8.011 \| good	22.888 \| good	0.505 \| good	5.716 \| good	0.144 \| good
2026-11-13T03:00:00.000Z	22 \| good	4.306 \| good	7.914 \| good	23.724 \| good	0.463 \| good	5.026 \| good	0.142 \| good
2026-11-13T04:00:00.000Z	22 \| good	4.308 \| good	7.945 \| good	23.703 \| good	0.447 \| good	4.684 \| good	0.141 \| good
2026-11-13T05:00:00.000Z	27 \| good	4.611 \| good	8.271 \| good	22.518 \| good	0.462 \| good	4.937 \| good	0.142 \| good
2026-11-13T06:00:00.000Z	27 \| good	5.112 \| good	9.035 \| good	20.776 \| good	0.506 \| good	6.19 \| good	0.143 \| good
2026-11-13T07:00:00.000Z	33 \| good	5.843 \| good	10.362 \| good	18.511 \| good	0.639 \| good	8.397 \| good	0.148 \| good
2026-11-13T08:00:00.000Z	38 \| good	6.558 \| good	11.738 \| good	14.63 \| good	0.808 \| good	13.004 \| good	0.168 \| good
2026-11-13T09:00:00.000Z	38 \| good	6.774 \| good	12.297 \| good	16.033 \| good	0.955 \| good	15.519 \| good	0.18 \| good
2026-11-13T10:00:00.000Z	33 \| good	5.776 \| good	11.134 \| good	23.502 \| good	0.861 \| good	11.37 \| good	0.166 \| good
2026-11-13T11:00:00.000Z	25 \| good	4.466 \| good	10.554 \| good	26.618 \| good	0.705 \| good	8.043 \| good	0.158 \| good
2026-11-13T12:00:00.000Z	27 \| good	3.749 \| good	9.077 \| good	28.888 \| good	0.535 \| good	6.01 \| good	0.151 \| good
2026-11-13T13:00:00.000Z	29 \| good	3.489 \| good	7.683 \| good	30.537 \| good	0.481 \| good	5.382 \| good	0.148 \| good
2026-11-13T14:00:00.000Z	27 \| good	3.453 \| good	7.173 \| good	29.026 \| good	0.493 \| good	5.892 \| good	0.15 \| good
2026-11-13T15:00:00.000Z	24 \| good	4.129 \| good	7.528 \| good	25.665 \| good	0.533 \| good	7.791 \| good	0.159 \| good
2026-11-13T16:00:00.000Z	27 \| good	4.823 \| good	10.423 \| good	20.993 \| good	0.673 \| good	12.443 \| good	0.173 \| good
2026-11-13T17:00:00.000Z	27 \| good	5.243 \| good	12.343 \| good	16.262 \| good	0.774 \| good	15.94 \| good	0.183 \| good
2026-11-13T18:00:00.000Z	44 \| good	8.464 \| good	14.468 \| good	10.279 \| good	0.951 \| good	24.419 \| good	0.209 \| good
2026-11-13T19:00:00.000Z	54 \| moderate	11.466 \| good	16.72 \| good	7.484 \| good	1.044 \| good	26.873 \| good	0.232 \| good
2026-11-13T20:00:00.000Z	58 \| moderate	12.628 \| fine	18.783 \| good	5.335 \| good	0.955 \| good	25.952 \| good	0.223 \| good
2026-11-13T21:00:00.000Z	56 \| moderate	12.297 \| fine	18.655 \| good	8.337 \| good	0.941 \| good	22.469 \| good	0.201 \| good
2026-11-13T22:00:00.000Z	54 \| moderate	11.383 \| good	17.16 \| good	12.122 \| good	0.87 \| good	18.026 \| good	0.185 \| good
2026-11-13T23:00:00.000Z	54 \| moderate	10.801 \| good	15.883 \| good	12.436 \| good	0.715 \| good	15.946 \| good	0.18 \| good
2026-11-14T00:00:00.000Z	52 \| moderate	9.712 \| good	13.984 \| good	13.385 \| good	0.623 \| good	14.074 \| good	0.176 \| good
2026-11-14T01:00:00.000Z	44 \| good	8.455 \| good	12.321 \| good	16.739 \| good	0.549 \| good	11.36 \| good	0.167 \| good
2026-11-14T02:00:00.000Z	38 \| good	7.41 \| good	11.549 \| good	19.475 \| good	0.472 \| good	8.533 \| good	0.156 \| good
2026-11-14T03:00:00.000Z	38 \| good	6.659 \| good	11.095 \| good	20.247 \| good	0.424 \| good	7.145 \| good	0.151 \| good
2026-11-14T04:00:00.000Z	33 \| good	5.929 \| good	10.44 \| good	20.414 \| good	0.407 \| good	6.189 \| good	0.148 \| good
2026-11-14T05:00:00.000Z	33 \| good	5.816 \| good	9.835 \| good	20.503 \| good	0.406 \| good	5.575 \| good	0.147 \| good
2026-11-14T06:00:00.000Z	33 \| good	6.113 \| good	9.682 \| good	22.135 \| good	0.44 \| good	5.437 \| good	0.147 \| good
2026-11-14T07:00:00.000Z	38 \| good	6.574 \| good	9.519 \| good	22.061 \| good	0.533 \| good	6.048 \| good	0.152 \| good
2026-11-14T08:00:00.000Z	38 \| good	7.009 \| good	9.57 \| good	20.656 \| good	0.663 \| good	7.627 \| good	0.169 \| good
2026-11-14T09:00:00.000Z	49 \| good	8.602 \| good	11.588 \| good	21.08 \| good	0.751 \| good	8.637 \| good	0.175 \| good
2026-11-14T10:00:00.000Z	52 \| moderate	9.918 \| good	13.354 \| good	21.863 \| good	0.702 \| good	7.837 \| good	0.173 \| good
2026-11-14T11:00:00.000Z	52 \| moderate	10.088 \| good	13.287 \| good	22.786 \| good	0.618 \| good	7.141 \| good	0.169 \| good
2026-11-14T12:00:00.000Z	49 \| good	9.305 \| good	11.946 \| good	23.684 \| good	0.562 \| good	6.854 \| good	0.164 \| good
2026-11-14T13:00:00.000Z	44 \| good	8.076 \| good	11.037 \| good	24.248 \| good	0.519 \| good	7.244 \| good	0.162 \| good
2026-11-14T14:00:00.000Z	44 \| good	8.164 \| good	12.666 \| good	23.618 \| good	0.498 \| good	7.574 \| good	0.163 \| good
2026-11-14T15:00:00.000Z	49 \| good	8.582 \| good	13.087 \| good	22.963 \| good	0.476 \| good	8.383 \| good	0.166 \| good
2026-11-14T16:00:00.000Z	49 \| good	9.15 \| good	13.503 \| good	21.721 \| good	0.535 \| good	10.108 \| good	0.172 \| good
2026-11-14T17:00:00.000Z	52 \| moderate	9.867 \| good	13.106 \| good	18.189 \| good	0.569 \| good	11.986 \| good	0.176 \| good
2026-11-14T18:00:00.000Z	54 \| moderate	10.764 \| good	13.006 \| good	15.068 \| good	0.644 \| good	13.924 \| good	0.183 \| good
2026-11-14T19:00:00.000Z	56 \| moderate	12.342 \| fine	14.277 \| good	12.891 \| good	0.602 \| good	14.11 \| good	0.188 \| good
2026-11-14T20:00:00.000Z	60 \| moderate	14.381 \| fine	16.148 \| good	10.836 \| good	0.609 \| good	15.496 \| good	0.195 \| good
2026-11-14T21:00:00.000Z	64 \| moderate	15.881 \| fine	17.715 \| good	8.915 \| good	0.577 \| good	17.108 \| good	0.198 \| good
2026-11-14T22:00:00.000Z	66 \| moderate	16.998 \| fine	19.217 \| good	8.489 \| good	0.63 \| good	18.141 \| good	0.192 \| good

South Yorkshire, UK live air quality index now

Major air pollutants in South Yorkshire, UK

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live South Yorkshire, UK air quality forecast and history

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South Yorkshire, UK air quality map: Track AQI near you

Air quality in cities of South Yorkshire, UK

Air quality in nearby states

Derbyshire, UK

Nottinghamshire, UK

West Yorkshire, UK

North Lincolnshire, UK

Greater Manchester, UK

East Riding of Yorkshire, UK

How accurate is South Yorkshire, UK air quality data?

Air quality levels in UK

Frequently asked questions

How often is the air quality data for South Yorkshire, UK updated?

When was the worst air quality at South Yorkshire, UK in the last 24 hrs?

When was the best air quality at South Yorkshire, UK in the last 24 hrs?

What is the current air quality in South Yorkshire, UK?

What pollutant is the most common in South Yorkshire, UK?

What should I do if the air quality in South Yorkshire, UK is poor?

What is the current concentration of PM2.5 in South Yorkshire, UK?

What is the current concentration of PM10 in South Yorkshire, UK?

What is the current concentration of carbon monoxide (CO) in South Yorkshire, UK?

What is the current concentration of sulfur dioxide (SO2) in South Yorkshire, UK?

What is the current concentration of ozone (O3) in South Yorkshire, UK?

What is the current concentration of nitrogen dioxide (NO2) in South Yorkshire, UK?

Particulate Matter_2.5 (PM_2.5)

Particulate Matter₁₀ (PM₁₀)

Ozone (O₃)

Sulfur Dioxide (SO₂)

Nitrogen Dioxide (NO₂)

What is the current concentration of PM_2.5 in South Yorkshire, UK?

What is the current concentration of PM₁₀ in South Yorkshire, UK?

What is the current concentration of sulfur dioxide (SO₂) in South Yorkshire, UK?

What is the current concentration of ozone (O₃) in South Yorkshire, UK?

What is the current concentration of nitrogen dioxide (NO₂) in South Yorkshire, UK?